This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.6326
Rewards/chosen: 0.3567
Rewards/rejected: -0.0406
Rewards/accuracies: 0.3492
Rewards/margins: 0.3973
Logps/rejected: -81.2324
Logps/chosen: -73.5766
Logits/rejected: -2.5151
Logits/chosen: -2.5314

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6538	0.3484	100	0.6320	0.5810	0.2964	0.3472	0.2846	-80.3683	-73.0014	-2.5308	-2.5469
0.6462	0.6969	200	0.6324	0.2521	-0.1128	0.3492	0.3648	-81.4175	-73.8449	-2.5055	-2.5222

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

taicheng/zephyr-7b-align-scan-2e-07-0.39-polynomial-1.0

zephyr-7b-align-scan-2e-07-0.39-polynomial-1.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

taicheng/
zephyr-7b-align-scan-2e-07-0.39-polynomial-1.0